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Zhe-Yuan Zhang

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#artificial intelligence Preprint Sep 2026

Learning from Runtime Feedback through Failure-Bank Self-Evolution for Vision-Language-Action Models

Vision-language-action (VLA) models generalize broadly across robotic manipulation tasks, but complex environments require balancing task success with unintended contact. Runtime shields can correct individual actions, but they leave the underlying policy unchanged, so repeated disagreements may create a persistent pol...

M.-Y. Cui, Zhe-Yuan Liu, Yi-Han Zhu et al. · 0 citations
Preprint Aug 2026

Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning

Recoverability-Aware Intervention Learning (RAIL), a training-time framework that learns how to generate rollouts based on the improvement produced by each intervention, consistently improves performance under limited rollout budgets.

Zheyuan Zhang, Man-Qing Mao, Hong Wang et al. · 0 citations

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